Being anxious about mathematics is a common feeling in higher education. Can addressing emotional and affective responses to mathematics improve teaching?

Explore practical answers to key questions on simulating linear regression models, controlling predictor correlation, adjusting effect strength, and ensuring reproducibility. Q1: Why should I simulate linear regression models instead of using real-world data? Q2: How do I ensure my simulated linear model results are reproducible? Q3: How do I simulate a linear regression model with multiple predictors? Q4: Why do not the estimated parameters (lm()) exactly match my defined $\beta_0$ and $\beta_1$ values?

Academic scholarship is meant to proportion claims to evidence, yet scholars can and do oversell their findings. Is it possible for authors and journals change?

Could geography change your research conclusions? Join our free, 90-minute online seminar for PhD students, postdocs and researchers to explore why location, neighbourhood effects and territorial boundaries matter for rigorous social science. This guided, code-free showcase brings spatial thinking to life through finished maps, published studies and real examples of electoral behaviour, policy diffusion and place-based inequality. Discover when spatial analysis can strengthen your research—and see how R can serve as a complete Geographic Information System (GIS), not just a statistics tool. No coding experience or prior GIS knowledge is needed. Attend live via Zoom or watch the recording, with 30-day access to seminar materials and an expert-monitored Q&A forum, plus a certificate of completion. Take your first step beyond descriptive mapping and discover what geographic thinking could reveal in your research! #AppliedResearch #ComputationalSocialScience #DataAnalytics #DataScience #Economics #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #Scientificprogramming #SocialSciences #SpatialData #Statistics #PublicPolicy #Sociology #R #Research #ResearchTraining #Instats

Ready to modernize your systematic reviews and meta-analyses without compromising scientific rigor? Join professors Hadi Fariborzi and Piers Steel, co-founders of HubMeta, for a two-day, hands-on online seminar designed for PhD students and professional researchers. Learn a rigorous, AI-integrated workflow that takes you from research questions and reproducible searches through screening, data extraction, quantitative and qualitative synthesis, and manuscript-ready outputs. Worked examples in HubMeta—a free AI-enabled platform used by over 6,000 researchers—and parallel demonstrations in R will help you build practical skills in meta-analysis, advanced modeling, and reproducible reporting. Attend live via Zoom or learn asynchronously, with recordings, materials, and an expert-monitored Q&A forum available for 30 days after the seminar. Participants also receive an official Instats certificate of completion and a free six-month subscription to any future paid HubMeta features. Build the skills to make your next evidence synthesis more scalable, transparent, and reproducible. #QualitativeResearch #QuantitativeMethods #ResearchMethods #Education #InformationScience #ComputerScience #Statistics #DataScience #HubMeta #R #Research #ResearchTraining #Instats

Ready to take your social network research beyond descriptive metrics? Join Antonio Zinilli for an advanced, hands-on online seminar on social network analysis using RStudio, designed for PhD students, postdoctoral researchers, and established social scientists. Learn to prepare relational data, compute and interpret centrality measures, create publication-quality network visualisations, and connect network patterns to substantive research questions. A real-world case study and an introduction to Exponential Random Graph Models (ERGMs) will help you build a rigorous, reproducible workflow for dissertations, publications, and collaborative projects. Attend live via Zoom or learn asynchronously, with recordings, materials, and expert-monitored Q&A available for 30 days after the seminar. An official Instats certificate of completion is included. #SocialNetworkAnalysis #RStudio #PhD #ResearchMethods #ComputationalSocialScience #ComputationalSocialScience #ComputationalStatistics #Criminology #DataAnalytics #DataScience #Demography #NetworkAnalysis #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialNetworkAnalysis #SocialPolicy #SocialPsychology #SocialSciences #SocialStratification #Sociology #Statistics #RStudio #Research #ResearchTraining #Instats

Advance your quantitative research skills with this two-day online workshop on Structural Equation Modeling (SEM) for PhD students and professional researchers in psychology and the behavioural sciences. Led by Scott Colwell (University of Guelph and Enablytics), the seminar introduces the conceptual foundations and applied practice of SEM, with a focus on latent variable modelling, measurement error, confirmatory factor analysis, mediation, model comparison, reliability, missing data, simulation-based power analysis, and reproducible R/lavaan workflows. Through real psychological examples, step-by-step demonstrations, and guided exercises, participants will learn how to build, evaluate, interpret, and report SEM models in ways that align with substantive theory and journal expectations. The seminar is delivered live via Zoom, with recordings, slides, code, data, and materials available for 30 days after the workshop, plus access to an expert-moderated Q&A forum and an official Instats certificate of completion. #Psychology #QuantitativeMethods #Statistics #DataScience #lavaan #R #Research #ResearchTraining #Instats

Why do we see red, feel blue, or turn green with envy? Join our one-day online seminar with Dr Domicele Jonauskaite (Institute of Psychology, University of Lausanne) to explore the fascinating intersection of colour perception, emotion, language, and culture. Designed for PhD students, post-docs, professors, and research professionals, this workshop will synthesize evidence from a recent systematic review and large-scale research spanning 73 countries and 46 languages, examining which colour–emotion associations may be universal and which are shaped by cultural, geographic, and linguistic context. Participants will gain insight into cross-cultural research design, reproducible and quantitative methods, and mechanistic evidence from colour-blind and blind populations, with opportunities to discuss collaborative projects, preregistration, and publication strategies. The seminar will be held via Zoom, with recordings, slides, materials, and a monitored Q&A forum available for 30 days afterward, and participants will receive an official Instats certificate of completion. #AffectiveScience #CognitivePsychology #CulturalStudies #Psychology #QuantitativeMethods #Statistics #Anthropology #Linguistics #CognitiveScience #Research #ResearchTraining #Instats

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Build a stronger foundation for rigorous, reproducible regression analysis with our online seminar for PhD students and professional researchers. This practical workshop introduces the R programming environment, the RStudio interface, Quarto-based reporting, linear and multiple regression, and the rms package for model specification, estimation, diagnosis, prediction, and visualization. Through a complete case study on body fat estimation, participants will learn how to import and annotate data, write analysis scripts, construct and interpret model formulas, fit and diagnose regression models, test composite hypotheses, generate predictions and intervals, and produce transparent HTML reports that integrate code, output, and interpretation. The seminar is available live via Zoom, with recordings, slides, code, output, and data available online for 30 days, plus access to a monitored Q&A forum for follow-up questions. Participants receive an official Instats certificate of completion, with ECTS Equivalent points available where indicated. #Biostatistics #Epidemiology #QuantitativeMethods #SoftwareEngineering #Statistics #DataScience #ComputerScience #R #RStudio #Quarto #Research #ResearchTraining #Instats

Geographic data are everywhere in political and social research, but how can we move from mapping patterns to making credible causal claims? This online seminar for PhD students, postdoctoral researchers, and professional researchers introduces practical strategies for causal analysis with spatial data, focusing on distance-based modelling and geographic regression discontinuity designs. Using fully worked examples in R, including international exposure and electoral participation in Madrid and the electoral impact of Madrid’s Low Emission Zone, participants will learn how to compute and interpret spatial distances and buffers, build regression models with spatial exposure measures, assess residuals and misspecification, construct signed running variables, estimate local treatment effects with rdrobust, and evaluate robustness through placebo tests and bandwidth checks. Taught by Fernando De la Cuesta (Universidad Complutense de Madrid / ECPR Methods School), the seminar is designed for researchers working with elections, policy borders, administrative boundaries, place-based interventions, or spatial exposure who want to strengthen their research design and produce more defensible, publishable empirical work. The seminar is delivered via Zoom, with recordings, materials, reusable R scripts, and Q&A forum access available for 30 days, plus an official Instats certificate of completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

Publishing in FT-50 journals is a major milestone for management scholars, and this online seminar offers a practical, evidence-informed pathway for getting there. Led by Arjun Mitra (California State University, Los Angeles), an FT-50 published scholar with editorial board experience at journals including Human Relations and Journal of Management Studies, the workshop gives PhD students, postdoctoral researchers, and academic staff concrete guidance on framing strong contribution claims, building theory, structuring introductions and discussions, aligning empirical strategy with theoretical arguments, and responding effectively to reviewers. Through successful manuscript examples, anonymised reviewer reports, manuscript clinic sessions, peer review exercises, and personalised feedback, participants will learn how to strengthen their own papers for top-tier management journals such as Organization Science, Human Relations, and Journal of Business Ethics. The seminar is delivered live via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, and participants receive an official Instats certificate of completion. #Business #Ethics #HumanCapital #HumanResourceManagement #Leadership #Management #OnlineSurvey #OrganisationalPsychology #OrganizationalBehavior #OrganizationStudies #Psychology #QuantitativeMethods #SocialPsychology #SocialSciences #Writing #Education #Research #ResearchTraining #Instats

Publishing in Financial Times 50 (FT-50) journals is a major milestone for management scholars, but meeting reviewer and editor expectations requires more than a strong idea. This online seminar, led by Arjun Mitra of California State University, Los Angeles, offers PhD students, postdoctoral researchers, and academic staff a practical, evidence-informed pathway for developing FT-50-ready manuscripts. Drawing on successful publications, anonymised reviewer reports, and examples from journals such as Organization Science, Human Relations, and Journal of Business Ethics, the workshop focuses on crafting compelling introductions, building stronger theoretical arguments, aligning empirical strategy with contribution claims, and writing persuasive discussions, cover letters, and rebuttals. Participants will take part in manuscript clinic sessions, peer review exercises, and guided revision activities designed to produce concrete improvements to their own work. Available live via Zoom, with recordings and materials accessible for 30 days, the seminar also includes an online Q&A forum and an official Instats certificate of completion. A valuable opportunity for researchers aiming to improve their chances of publication in top-tier management journals. #Business #Ethics #HumanCapital #HumanResourceManagement #Leadership #Management #OnlineSurvey #OrganisationalPsychology #OrganizationalBehavior #OrganizationStudies #Psychology #QuantitativeMethods #SocialPsychology #SocialSciences #Writing #Education #Research #ResearchTraining #Instats

Publishing in FT-50 journals is a major milestone for management scholars, but meeting the expectations of top-tier reviewers and editors requires more than a strong research idea. This online workshop, led by Arjun Mitra of California State University, Los Angeles, offers PhD students, post-doctoral researchers, and academic staff a practical, evidence-informed pathway for developing manuscripts that can compete in leading management journals. Drawing on FT-50 publications, anonymised reviewer reports, editorial experience, and exemplars from outlets such as Organization Science, Human Relations, and Journal of Business Ethics, the seminar focuses on the manuscript elements that matter most: crafting a compelling introduction, developing clear theoretical arguments, aligning empirical strategy with contribution claims, and writing persuasive discussion sections, cover letters, and rebuttals. Participants will receive hands-on guidance through manuscript clinic sessions, peer review exercises, annotated examples, and opportunities for individual feedback, leaving with concrete revisions and a clearer publication roadmap. The seminar is delivered online via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the live sessions, plus an official certificate of completion provided at the end. #Business #Ethics #HumanCapital #HumanResourceManagement #Leadership #Management #OnlineSurvey #OrganisationalPsychology #OrganizationalBehavior #OrganizationStudies #Psychology #QuantitativeMethods #SocialPsychology #SocialSciences #Writing #Education #Research #ResearchTraining #Instats

Join Peter Gruber for “Agentic Data Analytics: Automating Research Workflows,” a three-day online workshop designed for PhD students and professional researchers who want to use Agentic AI to streamline the scientific workflow—from data cleaning and wrangling to statistical analysis in R and Python, visualization, and LaTeX reporting. The seminar introduces Google Antigravity, a breakthrough Agentic AI tool that lets researchers leverage models such as Gemini Pro, Claude Opus, and GPT-OSS while running analytics locally on their own laptops, helping protect sensitive data from unnecessary cloud uploads. Alongside hands-on technical training, the workshop covers statistical decision-making and essential safety practices for working with AI agents. Taught by Peter Gruber, who holds PhDs in physics and economics and brings 20+ years of experience in statistical computing and AI-supported data science, the seminar includes Zoom livestream sessions, take-home skill challenges, 30-day access to recordings and materials, an instructor-monitored forum, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #Agent-basedModelling disciplines #AppliedResearch #ComputationalStatistics #DataScience #QuantitativeMethods #ResearchMethods #Statistics #InformationScience #ComputerScience #ArtificialIntelligence #SoftwareEngineering #PhilosophyofScience #Antigravity #Gemini #Python #R #Research #ResearchTraining #Instats

Geographic data are central to political and social research, but how can we move from descriptive maps to defensible causal claims? This online seminar for PhD students, postdocs, and professional researchers introduces practical strategies for causal analysis with spatial data, focusing on distance-based modelling and geographic regression discontinuity designs. Through fully worked R examples, including international exposure and electoral participation in Madrid and the electoral impact of Madrid’s Low Emission Zone, participants will learn how to compute and interpret distances and buffers, specify spatially meaningful regression models, assess residual spatial structure, construct signed running variables, estimate local treatment effects with rdrobust, and evaluate robustness with placebo and bandwidth checks. Taught by Fernando De la Cuesta (Universidad Complutense de Madrid; ECPR Methods School), the seminar is designed for researchers working on elections, policy borders, place-based interventions, administrative boundaries, or spatial exposure who want to strengthen research design and produce more credible, publishable empirical work. The seminar includes live instruction via Zoom, access to recordings and materials for 30 days, reusable commented R scripts, a monitored Q&A forum, and an official Instats certificate of completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

Join our online seminar for PhD students, post-doctoral researchers, academic staff, and professional researchers seeking an advanced, hands-on introduction to social network analysis in RStudio. Led by Antonio Zinilli, this research-oriented workshop focuses on the relational data and inferential questions that arise across sociology, political science, criminology, demography, social psychology, social policy, computational social science, and related fields. Participants will learn how to represent, import, organise, visualise, measure, and model network data, with practical coverage of nodes and ties, edge lists and adjacency structures, centrality measures such as degree, betweenness, closeness, and eigenvector centrality, publication-quality network visualisation, real-world case study workflows, and an introduction to Exponential Random Graph Models for analysing network formation and dependence. The seminar is designed to help researchers move beyond descriptive network familiarity toward more rigorous, reproducible, and theoretically meaningful analysis of relational data for dissertations, articles, grant proposals, and collaborative projects. Delivered via Zoom, the seminar includes access to recordings, slides, code, output, and data for 30 days after the seminar, plus a monitored online Q&A forum and an official Instats certificate of completion. #ComputationalSocialScience #ComputationalStatistics #Criminology #DataAnalytics #DataScience #Demography #NetworkAnalysis #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialNetworkAnalysis #SocialPolicy #SocialPsychology #SocialSciences #SocialStratification #Sociology #Statistics #RStudio #Research #ResearchTraining #Instats

Many social-science datasets contain location information, but turning addresses or place names into reliable spatial data—and knowing whether nearby observations are truly independent—can be a major challenge. This online Instats seminar for PhD students, postdocs, and professional researchers offers a rigorous, reproducible workflow in R for geocoding with OpenStreetMap/Nominatim, validating location quality, building and mapping point layers, and assessing spatial autocorrelation using spatial weights, Moran’s I, LISA, and hot-spot detection. Taught by Fernando De la Cuesta (Universidad Complutense de Madrid), the seminar uses a live, fully worked example on the electoral geography of Spain and provides commented scripts participants can adapt to their own research. It is especially useful for researchers working with survey, electoral, administrative, firm-level, or event data, and for anyone studying political behaviour, inequality, regional development, public policy, environmental exposure, or other geographically clustered social processes. All livestream seminars are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, and participants receive an official Instats certificate of completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

How can geographic thinking strengthen social science research? Join this free 90-minute online seminar for PhD students, postdocs, and professional researchers to explore why location matters when studying spatial dependence, neighbourhood effects, territorial boundaries, uneven development, electoral behaviour, policy diffusion, and place-based inequality. This guided, code-free showcase introduces key concepts such as Tobler’s Law and demonstrates how spatial analysis can change research conclusions, improve inference, and increase policy relevance, all through finished maps, results, and published studies rather than live coding. You’ll also see how R can function as a complete Geographic Information System (GIS), offering a free and reproducible alternative to proprietary tools. No coding experience or prior GIS knowledge is required. Participants receive access to the live Zoom session, a 30-day recording, presentation slides, a curated reading list, showcase maps and results, a 30-day Q&A forum, and a certificate of completion. This is an ideal entry point for researchers who work with geographic data or want to understand whether spatial analysis could strengthen their next project. #AppliedResearch #ComputationalSocialScience #DataAnalytics #DataScience #Economics #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #Scientificprogramming #SocialSciences #SpatialData #Statistics #PublicPolicy #Sociology #R #Research #ResearchTraining #Instats

Ready to modernize your systematic reviews and meta-analyses? Join professors Hadi Fariborzi and Piers Steel, co-founders of HubMeta, for a hands-on online seminar designed for PhD students and professional researchers who want to integrate AI into evidence synthesis without compromising rigor, transparency, or validity. Across two days, you’ll learn a complete AI-enabled workflow using HubMeta’s Pull, Pick, Prep, Push approach, from protocol-aligned question formulation, reproducible search design, AI-assisted screening, fuzzy deduplication, and codebook-driven extraction to analysis-ready datasets, baseline and advanced meta-analysis, qualitative synthesis, bias diagnostics, and manuscript-ready outputs. The seminar combines worked examples in HubMeta, a free AI-enabled platform used by over 6,000 researchers, with parallel demonstrations in R to strengthen quantitative skills and reproducibility. Participants receive access to recordings and materials for 30 days, a monitored Q&A forum, an official Instats certificate of completion, and a free 6-month subscription to any future paid HubMeta features. #QualitativeResearch #QuantitativeMethods #ResearchMethods #Education #InformationScience #ComputerScience #Statistics #DataScience #HubMeta #R #Research #ResearchTraining #Instats

Geographic data are central to political and social research, but how can researchers move from descriptive mapping to credible causal claims? This online seminar for PhD students, postdoctoral researchers, and professional researchers introduces practical strategies for using geographic information in causal analysis, focusing on distance-based modelling and geographic regression discontinuity designs. Through fully worked R examples, including international exposure and electoral participation in Madrid and the electoral impact of Madrid’s Low Emission Zone, participants will learn how to compute and interpret spatial distances and buffers, specify regression models with meaningful controls, assess residual spatial patterns, construct signed running variables, estimate local treatment effects with rdrobust, and evaluate robustness using diagnostics, placebo tests, and bandwidth checks. Taught by Fernando De la Cuesta (Universidad Complutense de Madrid), this example-driven seminar provides reusable, commented R scripts and practical tools for researchers working on elections, policy borders, spatial exposure, administrative boundaries, and place-based interventions. Available live via Zoom or asynchronously, with recordings, materials, Q&A forum access for 30 days, and an official Instats certificate of completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

How can researchers turn messy place names, addresses, survey locations, electoral returns, administrative records, or event data into reliable spatial evidence? In this online seminar for PhD students, postdoctoral researchers, and professional researchers, Fernando De la Cuesta (Universidad Complutense de Madrid; ECPR Methods School) will guide participants through a rigorous, reproducible R workflow for geocoding text-based locations with OpenStreetMap/Nominatim, building and validating point layers, and assessing whether nearby observations are statistically independent. The seminar also introduces spatial autocorrelation, spatial weights, global Moran’s I, LISA, and hot-spot detection, with a worked example on the electoral geography of Spain and hands-on application to participants’ own variables. Designed for researchers working with survey, electoral, administrative, firm-level, event, or other location-based data, the seminar emphasizes research design, data quality, reproducibility, and substantive interpretation. Livestreamed via Zoom, with recordings, materials, reusable commented scripts, a monitored Q&A forum, and an official Instats certificate available after completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

Want to work more confidently with spatial data in R? This online seminar introduces the foundational concepts and practical workflows researchers need to use R as a free, reproducible GIS, covering spatial objects, coordinate reference systems, geographic data structures, map-based visualisation, troubleshooting, and reusable scripts for your own research. Designed for PhD students, postdoctoral researchers, and professional researchers across the social sciences, economics, geography, political science, data science, and computational social science, the seminar is especially relevant for projects involving inequality, diffusion, territory, voting, development, environmental exposure, and other place-based questions. Led by Fernando De la Cuesta, who brings expertise in applied and public economics as well as extensive experience teaching spatial analysis, the workshop combines live, example-driven R workflows with opportunities to apply techniques to your own variables and leave with commented scripts for future use. Livestream participants join via Zoom, with recordings, materials, data, and an online Q&A forum available for 30 days after the seminar; on-demand access is also available. Participants receive an official Instats certificate of completion, with ECTS Equivalent points available where shown. #AppliedResearch #ComputationalSocialScience #DataAnalytics #DataScience #Economics #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #Scientificprogramming #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats